<div dir="ltr"><h3 class="gmail-pfblock-header" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 60px;font-size:13px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;text-align:center"><br class="gmail-Apple-interchange-newline">THE COMPUTATIONAL SOCIAL SCIENCE WORKSHOP PRESENTS</h3><h1 class="gmail-pfblock-header3" style="box-sizing:border-box;margin:0px 0px 10px;font-size:40px;font-family:Raleway,sans-serif;line-height:1.2;font-stretch:normal;text-transform:uppercase;letter-spacing:5px;padding:0em;text-align:center">MONICA ROSENBERG</h1><h3 class="gmail-pfblock-header3" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 10px;font-size:13px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;padding:0em;text-align:center">ASSISTANT PROFESSOR OF PSYCHOLOGY, DIRECTOR OF THE COGNITION, ATTENTION, AND BRAIN (CAB) LAB</h3><h3 class="gmail-pfblock-header3" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 10px;font-size:13px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;padding:0em;text-align:center">THE UNIVERSITY OF CHICAGO</h3><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"><br style="box-sizing:border-box"></p><p class="gmail-pfblock-header3" style="box-sizing:border-box;margin:0px 0px 10px;padding:0em;text-align:center;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px">The<span class="gmail-Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">Computational Social Science Workshop<span class="gmail-Apple-converted-space"> </span></a>at the University of Chicago cordially invites you to attend this week’s talk:</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"></p><div class="gmail-pfblock-header3" style="box-sizing:border-box;padding:0em;text-align:center;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><h2 class="gmail-pfblock-header" style="box-sizing:border-box;line-height:1.2;color:rgb(34,34,34);margin:0px 0px 60px;font-size:30px;font-stretch:normal;text-transform:uppercase;letter-spacing:5px"><a href="https://github.com/uchicago-computation-workshop/monica_rosenberg/blob/master/nn.4179.pdf" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">PREDICTING ATTENTION AND WORKING MEMORY FROM FUNCTIONAL BRAIN CONNECTIVITY ACROSS DEVELOPMENT<span class="gmail-Apple-converted-space"> </span></a></h2><p style="box-sizing:border-box;margin:0px 0px 10px"><br style="box-sizing:border-box"></p></div><p class="gmail-footertext2" style="box-sizing:border-box;margin:0px auto 10px;text-align:justify;font-size:14px;color:rgb(102,102,102);font-family:Raleway,sans-serif"></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><span style="box-sizing:border-box;font-weight:700">Summary:</span><span class="gmail-Apple-converted-space"> </span>Attention and working memory are critical for successfully navigating our everyday lives. Surprisingly, however, we have no way to characterize — much less capture — a person’s attention and memory function as a whole. To address this challenge, I will demonstrate that a person’s unique pattern of functional brain connectivity can provide such a measure. In particular, I will show that models based on functional connectivity “fingerprints” predict how well people can pay attention and remember information in a variety of contexts. Throughout the talk I will highlight how testing brain-based predictive models across age and mental state can reveal specific and general neural signatures of behavior. For example, testing models across age can help identify developmental change points in the relationship between brain and behavior. Likewise, testing models across cognitive and emotional states (e.g., rest and task) can further constrain the specificity of predictive models. For instance, does perturbing neural circuits with cognitive tasks improve behavioral predictions? Moving forward, characterizing when models successfully predict behavior and when they fail can provide new insights into the functional architecture of attention and memory that is common or unique to development windows and mental states.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"></p><h4 class="gmail-pfblock-header3" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 10px;font-size:12px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;padding:0em;text-align:center">THURSDAY, 2/14/2019</h4><h4 class="gmail-pfblock-header3" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 10px;font-size:12px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;padding:0em;text-align:center">11:00AM-12:20PM</h4><h4 class="gmail-pfblock-header3" style="box-sizing:border-box;font-family:Raleway,sans-serif;line-height:1.2;margin:0px 0px 10px;font-size:12px;font-stretch:normal;text-transform:uppercase;letter-spacing:1px;padding:0em;text-align:center">KENT 120</h4><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"></p><p class="gmail-pfblock-header3" style="box-sizing:border-box;margin:0px 0px 10px;padding:0em;text-align:center;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px">A light lunch will be provided by Good Earth Catering.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"><br style="box-sizing:border-box"></p><p class="gmail-footertext2" style="box-sizing:border-box;margin:0px auto 10px;text-align:justify;font-size:14px;color:rgb(102,102,102);font-family:Raleway,sans-serif"><span style="box-sizing:border-box;font-weight:700">Monica Rosenberg</span><span class="gmail-Apple-converted-space"> </span>will join the University of Chicago Department of Psychology as an Assistant Professor and director of the Cognition, Attention, and Brain (CAB) Lab in July. Her research explores how we pay attention, and how insights from attention research can help improve focus. Dr. Rosenberg completed her PhD and postdoctoral work in the Department of Psychology at Yale University after earning her undergraduate degree in cognitive neuroscience at Brown University.</p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"></p><p style="box-sizing:border-box;margin:0px 0px 10px;color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><br style="box-sizing:border-box"><br style="box-sizing:border-box"></p><hr style="box-sizing:content-box;height:0px;margin-top:20px;margin-bottom:20px;border-right-width:0px;border-bottom-width:0px;border-left-width:0px;border-top-style:solid;border-top-color:rgb(238,238,238);color:rgb(102,102,102);font-family:Raleway,sans-serif;font-size:14px"><p class="gmail-footertext" style="box-sizing:border-box;margin:0px auto 10px;text-align:justify;font-size:10.8px;color:rgb(102,102,102);font-family:Raleway,sans-serif">The 2018-2019<span class="gmail-Apple-converted-space"> </span><a href="https://macss.uchicago.edu/content/computation-workshop" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">Computational Social Science Workshop<span class="gmail-Apple-converted-space"> </span></a>meets Thursdays from 11 a.m. to 12:20 p.m. in Kent 120. All interested faculty and graduate students are welcome.</p><p class="gmail-footertext" style="box-sizing:border-box;margin:0px auto 10px;text-align:justify;font-size:10.8px;color:rgb(102,102,102);font-family:Raleway,sans-serif">Students in the Masters of Computational Social Science program are expected to attend and join the discussion by posting a comment on the<span class="gmail-Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/monica_rosenberg/issues" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">issues page<span class="gmail-Apple-converted-space"> </span></a>of the<span class="gmail-Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/monica_rosenberg" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">workshop’s public repository on GitHub.</a><span class="gmail-Apple-converted-space"> </span>Further instructions are documented in the Computational Social Science Workshop’s<span class="gmail-Apple-converted-space"> </span><a href="https://github.com/uchicago-computation-workshop/README" style="box-sizing:border-box;background-color:transparent;color:rgb(66,139,202);text-decoration-line:none">README on Github.</a></p><div><br></div></div>